Guang Qi

Dr. Guang Qi


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2019 in Forests
Verified
Journal Article
Open access
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SWShunzhong Wang
Shunzhong Wang
GQGuang Qi
Guang Qi
BKBenjamin O. Knapp
Benjamin O. Knapp
A thorough understanding of carbon storage patterns in forest ecosystems is crucial for forest management to slow the rate of climate change. Here, we explored fine-scale biomass spatial patterns in a secondary warm temperate deciduous broad-leaved forest in north China. A 20-ha plot was established and classified by topographic features into ridge, valley, gentle slope, and steep slope habitats. Total tree biomass varied from 103.8 Mg/ha on the gentle slope habitats to 117.4 Mg/ha on the ridge habitats, with an average biomass of 109.6 Mg/ha across the entire plot. A few species produced the majority of the biomass, with five species contributing 78.4% of the total tree biomass. These five species included Quercus mongolica Fisch. ex Ledeb (41.7 Mg/ha, 38.1%), Betula dahurica Pall. (19.8 Mg/ha, 18.0%), Acer mono Maxim. (12.6 Mg/ha, 11.5%), Betula platyphylla Suk. (7.0 Mg/ha, 6.4%), and Populus davidiana Dode. (4.8 Mg/ha, 4.4%). The five species were also associated with certain habitats; for example, Q. mongolica was positively associated with the ridge habitat and A. mono was positively associated with the valley habitat. Results from this work document the variability in forest biomass across a warm temperate forest ecosystem of north China, with implications for managing and accounting forest carbon.

15 June 2020 in Annals of Forest Science
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Journal Article
Closed access
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XWXiaohua Wei
Xiaohua Wei
MWMichaela J. Waterhouse
Michaela J. Waterhouse
GQGuang Qi
Guang Qi
JWJianping Wu
Jianping Wu

1 December 2010
Verified
Journal Article
Closed access
QWQing-Wei Wang
Qing-Wei Wang
DYDapao Yu
Dapao Yu
LDLi-Min Dai
Li-Min Dai
LZLi Zhou
Li Zhou
Wangming ZhouWangming Zhou
Wangming Zhou
YYYu-Jing Ye
Yu-Jing Ye


14 August 2025 in Biology
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Journal Article
Open access
PDF file
CWChunxiao Wang
Chunxiao Wang
SXShaoxia Xia
Shaoxia Xia
XYXiubo Yu
Xiubo Yu
HDHoulang Duan
Houlang Duan
GQGuang Qi
Guang Qi
Migratory flyways sustain waterbird populations by linking critical habitats across their annual cycle. However, stage-specific impacts of climate change on these habitats remain poorly understood. We integrated species distribution models with annual migration data from 30 Greater White-fronted Geese (Anser albifrons frontalis) to assess changes in habitat suitability, distributional shifts, and suitability fluctuations across breeding, stopover, and wintering stages under mid-century (2040–2060) climate scenarios. Suitability fluctuations were quantified as the coefficient of variation (CV) in habitat suitability between current and future projections. Projected habitat responses varied markedly across stages: breeding areas contracted by 29.9%, wintering areas expanded by 62.7%, and stopover sites showed minimal net change. Centroids of all habitats are projected to shift northward by mean distances of 125–492 km under future climate scenarios. Breeding habitats exhibited the greatest suitability fluctuations (CV=30–45; ~50% area affected under SSP585), followed by stopover and wintering grounds (CV ≈ 11), with 35.8% and 23.3% of their areas falling within high-fluctuation zones. These findings highlight the urgent need to prioritize breeding habitats, implement stage-specific conservation strategies, and enhance international cooperation to ensure the protection of waterbirds along the East Asian Flyway.

1 February 2011
Verified
Journal Article
Closed access
GQGuang Qi
Guang Qi
QWQing-Li Wang
Qing-Li Wang
XWXin-Chuang Wang
Xin-Chuang Wang
LQLin Qi
Lin Qi
QWQing-Wei Wang
Qing-Wei Wang
LDLi-Min Dai
Li-Min Dai